Post on 16-Sep-2020
Science of
Science & Innovation Policy
(SciSIP)
Julia Lane
Overview
What is SciSIP about?
Investigator Initiated Research
Current Status
Next Steps
Statistical Data Collection
Graphic Source: 2005 Presentation by Neal Lane on the Future of U.S. Science and Technology
Tag Cloud Source: Generated from 2007 Presentation by John Marburger on Science Policy and Budget Issues
ROMAN AUGURS: Roman augurs foretell the future by observing the behavior of hens © Copyright (c) Mary Evans Picture Library 2007
Scientists Can Provide a
‘Black Box’ Answer
Or…
We Can Use Science
Innovation and Policy are
Fundamentally
Human and Social Activities
Individuals
Firms
Institutions
An Ecosystem of Innovation
SciSIP Goals
Understanding
develop usable knowledge and theories
Measurement
improve and expand science metrics, datasets
and analytical models and tools
Community of Practice
cultivate a community of practice focusing on
SciSIP across the academy, the public sector and industry
Investigator Initiated Research
Solicitations
Workshops
• Transdisciplinary research teams
• Collaboration between academic and non-academic scientists
• Virtual social networks
• Domain and culturally based evaluation tools
Human capital development and the collaborative
enterprise related to STI
outcomes
• Benefits from international collaboration
• Contributions of foreign graduate students and postdocs to knowledge creation and diffusion
Returns to international
knowledge flows
• Cognitive models of scientific discovery and innovation
• Tools for innovative design based on core cognitive processes
Creativity and
innovation
• Gap analysis of the Idea Innovation Network (
• Complexity systems modeling of technological evolution
• Mapping tool of science for correlating funding with research outputs
• International database of inter-organizational collaborative agreements (OECD)
Knowledge production
systems
• Theoretical framework for assessing science and technology policies and social welfare outcomes
• Evaluative tools for assessing the distributional consequences of policy initiatives (intellectual property rights; life sciences)
• State science and innovation policy initiatives evaluation tools
• Public-values-based model of science and innovation policies
Science policy
implications
• Simulation models of the knowledge creation and transfer system
• Organizational designs and social networks that incubate, enrich and accelerate innovation
• Tools for policymakers to optimize funding potential
• Database of international research and technology partnerships, with indicators
• Video database on tools and artifacts in innovative design
• Performance evaluations tools enabled by cyberinfrastructure
• Frontier methods of program evaluation
• Theoretical foundations of the innovation system and linkages to economic growth and social well-being
Broader Impacts
Solicitation II
Focus
• Add new methods, models and tools specifically informing the data-collection process
• Add data development including new surveys, datasets, indicators, and benchmarks
• Collaboratories—virtual organizations
57 proposals received March 18
• Extremely high quality (and high cost) proposals
Panel to be held June 9-10
Decisions by end of July
Advancing the Scientific Study of Discovery - Innovation Partnerships
Joint with SBE/IOS, ENGR, CISE and MPS
TBD
Describing the Elephant: Studying Innovation and Change in Organizations
Joint with Kauffman Foundation and SBE/IO
TBD
A Deeper Look At The Visualization Of Scientific Discovery In The NSF Context
Joint with SBE/SRS, OCI, CISE, MPS
Sept 11-12 2008
Workshops
Data on Organizations
Researcher Driven
Data infrastructure
Web 2.0 approach
Virtual Collaboratory
New approaches to collecting data
Survey
Administrative
Webscraping
Etc…
Confidentiality
Collaboration with businesses
Visualization
Visual Analytics
Solicitation III
Will be posted October 2008
Deadline January 2009
Awards May 2009
SciSIP Milestones
Longer term:
An evidence-based understanding of the impacts of the S&E enterprise
A capacity to better nourish and harness the capabilities of the national STEM workforce
The development of a Community of Practice
20
National Science Foundation
The NSF Science & Engineering Enterprise
Statistical Data Collections
SciSIP funded Redesigns and New Surveys
21
Business Research & Development
Survey (BRDS)
National Science Foundation
• BRDS redesign.
- Financial measures of domestic and global R&D activity
- R&D employment detail
- R&D management, strategy, and technical focus
- Intellectual property and technology transfer activities
22
Academic Research & Development Survey
National Science Foundation
• Survey redesign will.
- Provide more detailed sources of funds including industry
support by field
- Reflect multi- and interdisciplinary R&D, new fields
- Explore feasibility of obtaining data on R&D personnel
- Examine potential means of tracking technology transfer
activities
- Improve international comparability (e.g., collection
of non-S&E R&D data)
23
Other SRS R&D Surveys
National Science Foundation
• Two surveys of federal government funding of R&D
• New State Government R&D Survey.
- Data collections for 2006 & 2007 & periodic in the future
• Research Facilities Survey in academic and biomedical
facilities (with NIH)
• Nonprofit R&D Survey; early planning stage
- 2 types of R&D data – performers & funded
- Characteristics of nonprofits conducting R&D
- Characteristics of R&D conducted
- Exploration of intellectual property IP
- Exploration of Innovation
24
Research & Development: Other Activities
National Science Foundation
• R&D Satellite Account—joint work with Bureau of Economic
Analysis (BEA).
• R&D investment accounted for about 4 ½% of real GDP
growth from 1959-1995 and for 6 ½% from 1995-2002
• Linking NSF’s Business R&D data with BEA data on
foreign direct investment
• U.S. firms’ international R&D activities
• Foreign firms’ R&D activity in U.S. by state and industry
25
Innovation: U.S. Surveys
National Science Foundation
• Innovation is not the same as R&D
• SRS surveys collect no innovation-specific data
• Planning to obtain data on innovation activities of firms with
fewer than 5 employees
• Exploring addition of periodic innovation modules to
redesigned Business R&D Survey
26
Human Resources
National Science Foundation
• Addition of field of bachelor’s degree to American Community
Survey (ACS) which is part of the U.S. Census
- Will provide timely annual estimates of S&E workforce and
immigrant scientists & engineers (now dependent on decennial
Census data for best estimates)
27
Human Resources
National Science Foundation
• SRS Postdoc Data Project to increase quality and quantity
of information on postdocs/early career scientists &
engineers
• Ongoing work with OECD, UNESCO, and the EU to improve
quality and international comparability of data on education,
workforce, and mobility – continual incremental
improvements
• Exploration of data and ongoing work on S&E jobs outsourcing,
off-shoring
• Collecting information on recipients of S&E doctorates from
U.S. institutions residing outside the U.S.
28
Interdisciplinary, Multidisciplinary, and
Emerging Fields
National Science Foundation
• Activities include:
- Updating taxonomy for fields of science (e.g., exploring
bibliometric methods) for education, research, and jobs
- Identifying emerging fields through survey responses to
open-ended questions
- Collecting information about interdisciplinary/
collaborative nature of S&E jobs.
29
Cyberinfrastructure
National Science Foundation
• Lack of uniform definitions and agreed – upon measures; multiple
definitions as technologies evolve
• SRS continues to track pertinent developments
• Academic Research Facilities Survey as primary vehicle
- Currently collects data on:
Computing and networking
Infrastructure
Measures of cyberinfrastructure activities (constrained
by the data available to survey respondents)
- Beginning to pick up information relevant to Cyber
databases such as computing storage & bricks & mortar
necessary to support the cyberinfrastructure
- Sharing of computing resources
Thank you!
Comments and questions invited.
For more information please contact:
Julia Lane
jlane@nsf.gov